The graduation thesis "Usage of BizAgi in insurance company" is focusing to insurance of large and industry- related risks. The work introduces insurance and reinsurance processes in issue with insurance of industry risks. It also analyzes an actual and desired situation of insurance -- reinsurance industry risks. The main contribution of my thesis is executing data integration from insurance tool Golem to BizAgi application. The thesis describes procedures and possibilities to perform data integration. Result of my work bring findings to the issue BPM tool BizAgi suitable for needs Insurance Company. BizAgi, Business Process Management, BPM, Data integration, Entity, Insurance Company

The main goal of this master's thesis is the analysis of benefits of the new legislation Insolveny Act with a focus fulfilling of planned effects and future development. The first chapters of this thesis are focused on the theoretical definition of resolving insolvency in the Insolvency act. The following chapters through analysis of statistical informations approaches the carrying capacity of the insolvency courts during development of bankruptcy law, including the interactions between the variables of the current insolvency proceedings. The last part of thesis assesses the content of the expected effects of Insolvency Act for the period of its effectiveness, pointing to deficiencies incurred and the actual conclusion suggests some recommendations and suggestions for future development.

This diploma thesis is focused on possibility of influencing public opinion through appropriate modification of information or conclusions arising from the statistical data. The thesis is not classically divided into two parts but into five smaller chapters, which are connected to each other. Absence of practical part is caused by examples are contained in each chapter. Chapter with the practise examples is in the conclusion of the thesis. The examples are commonly available on the Internet and most people do not pay attention to them.

This thesis deals with the extension of Office application Microsoft Excel -- PowerPivot program. First, the thesis focuses on the topic of the actual Business Intelligence (BI) and compares the classical BI approach and self-service BI approach. In the first part are dis-cussed current trends in BI. The second and main part is focused to the PowerPivot. Grad-ually are mentioned benefits and news in PowerPivot on the examples compared to classical analysis in Excel. In the initial description of the features are also instructions for installing the program and its news in version 2013. An important chapter is focused to the DAX expressions and all the calculations that can be implemented in PowerPivot. Separate chapters are devoted to data import and connection with MS SharePoint Server. As an ex-ample, is introduced the calculation of the ABC analysis to classify products, used mainly in logistics. The last part deals with implementation of applications in PowerPivot for MBI model (Management of Business Informatics).

This thesis deals with the possibilities of using methods of Competitive Intelligence in practice. The main objective of thesis is to design and realize system for collecting, analysis and distribution of data to end users at Crystal Glamour, Ins. To achieve this goal was set several sub - objectives. Analyze the company activities, find its strengths and weaknesses, identify opportunities and threats of company. Based on these data are identified goals of CI and information sources that cover the domain of interest. Then, using software applications from Tovek, spol. Ltd., the relevant articles are searched and analyzed, which are then distributed by the well-arranged report to individual users.

Main target of this graduation thesis was creating system for data preparation. System was created using programing languages C#, SQL and partly in XML and HTML.

This thesis brings a comprehensive view on the construction, usage and interpretation of composite indicators. Methods and techniques, which can be used for constructing composite indicators, are introduced. The focus is on their contribution to the transparent solution of the problem of correlation and compensability among underlying indicators. Transparency in construction of composite indicators is a crucial requirement for obtaining reliable results and their correct interpretation. The thesis consists of two main parts. The first part is theoretically oriented. First, the problem of adequacy and subsequently a measurement of the phenomenon by means of statistical indicators are discussed. Different methods for data normalization, setting a weighting scheme and aggregation are introduced and compared. These three steps are considered to be crucial in a process of constructing a composite indicator and thus, they are the core of the thesis. The aim is to investigate an interaction of normalization methods, weight-setting and aggregation methods, since these steps are not separate. The second part of the thesis consists of two comprehensive cases. Theoretical findings are applied and empirically verified in these cases. I investigated a robustness of the composite indicator depending on a combination of selected methods of normalization, setting weights and aggregation on a set of Europe 2020 indicators. Whereas this first case dealt with the comparative analysis of methods, the second case is focused purely on one issue -- university ranking. The proposed method reacts to criticism of currently published university rankings and takes into account specifics of the particular university as well as the exogenous background characteristics. The main added value rests in a contribution to a discussion about the improvement of construction and overall quality of composite indicators including their interpretation. I pointed out the main concerns and difficulties of composite indicators that often remain unnoticed by users and even constructors. The conclusion brings several beneficial findings, which can be used for the construction of a composite indicator and an interpretation of final scores and ranking. This work can also serve as a scientific ground for further research and development of the methodology of constructing composite indicators.

The implementation of the Basel II capital adequacy framework promoted internally modelled risk parameters and allowed banks to build their own models. The recent crisis pointed at the gaps in the Basel II Accord, seeing banks having trouble to deal with lack of liquidity and higher default rates. The minimum regulatory capital held by the banks turned out to be insufficient and banks started looking for other techniques to better quantify the risks they are exposed to. Model accuracy is a key objective to meet the capital adequacy requirements while facing severe economic conditions. The purpose of this thesis is to suggest a new approach to credit modelling. Data envelopment analysis (DEA) can overcome some the difficulties that the banks deal with. The key opportunity in using DEA and its modifications is in the fact that this method does not require prior information about the classification between good and bad units and only requires financial and other data about the client in question. This thesis analyses the performance of DEA applied on a real world portfolio of corporate loans compared to the two standard methods used in the banking sector. Logistic regression is the most popular method, having few restrictions and providing output in the form of a probability of default. The second method is the discriminant analysis giving similar results to the logistic regression but being based on more assumptions. The model is validated by comparing the model output with the actual status and its predictive power evaluated.

This thesis concerns the question of data migration and specifically data migration into the Oracle Exadata database environment. A characteristic project of data migration has been designed which is then specified in a form of a data migration operating guideline creation. Suggested process is then tested on a real database migration. A part of this work is also a detailed description of the Oracle Exadata technological solution including an evaluation of its benefits and limitations in a practical usage. Information and feedbacks necessary to accomplish these goals were gained by interviewing specialists on different positions throughout the organisation that have a real experience with the system. This work can also serve as a valuable source of information for projects dealing with data migration, mainly data migration in the Oracle Exadata environment. As a matter of fact, potential future users can find this work very helpful when considering a purchase of the Oracle Exadata system package.

The aim of the thesis is to compare methods of cluster analysis correctly classify objects in the dataset into groups, which are known. In the theoretical section first describes the steps needed to prepare a data file for cluster analysis. The next theoretical section is dedicated to the cluster analysis, which describes ways of measuring similarity of objects and clusters, and dedicated to description the methods of cluster analysis used in practical part of this thesis. In practical part are described and analyzed 20 files. Each file contains only quantitative variables and sort characters by which objects are sorted. In each file is calculated success rate of object segmentation into groups for each cluster method. At the end of the practical part is a summary description of the results of cluster methods. The main contribution of this thesis is to evaluate the success of cluster methods for classification objects into known groups.